Evacuation
Robots start at the centre of a disk (or a polygon) and must all leave through an exit at an unknown point of the boundary, as fast as possible.
Problem statement and measuresexpand
\(k\) unit-speed robots start together at the centre of a unit disk (or the centroid of a unit equilateral triangle or square). An exit lies at an unknown point of the boundary; a robot recognises it only on reaching it. Time is the worst case, over exit positions, of the time until the last robot reaches the exit (in priority evacuation, where one robot is the queen: until the queen does).
Measures: Evacuation time, worst-case time until the last robot (or the queen) reaches the exit; unit disk, unit speed.
Two face-to-face robots, disk
verifiedFace-to-face, two robots need between \(\approx 5.255\) and \(\approx 5.6234\); the gap has been open since 2019.
Assumed (added on the last edge are outlined)
Not assumed
Formal definitions of this setting
- Domain: disk
- The unit disk; robots start at its centre; the exit is a point of the boundary circle.
- Number of robots: two robots
- Two robots.
- Goal: all robots
- The task ends when the last robot reaches the exit.
- Exits: one exit
- One exit, at an unknown point of the boundary.
- Communication: face-to-face
- Face-to-face: two robots exchange information only when they are at the same point at the same time.
- Faults: no faults
- Every robot detects and reports the target.
- Speeds: equal speeds
- All robots move at most at unit speed.
- Randomness: deterministic
- Trajectories are fixed functions of the information received.
What is known
- face-to-face
- improves \(3+\pi/4+\sqrt2\) of Czyzowicz et al. 2014
Results, in order of publication
Forced meetings exchange no useful information; simpler algorithm.
A second detour through the interior.
Open questions
Close the gap between \(3+\pi/6+\sqrt3 \approx 5.255\) and \(5.6234\) for two face-to-face robots.
Notes
The "second cut" of Disser & Schmitt 2019 is a second detour through the interior: an upper-bound technique. Measured in the average case over the exit position, the trade-off between average and worst-case time is mapped, and \(1+\pi\) is conjectured to be the optimal average for any number of robots Chuangpishit et al. 2019.
What carries over from neighbouring settings
Read off the order of assumptions, not checked case by case: results may carry extra assumptions (shown on their pages), and asynchronous time is measured in epochs.
Algorithms from weaker settings work here
Lower bounds from stronger settings hold here
Know a better result for this setting, or found a mistake? Suggest a result · Report an error. Accepted contributions are acknowledged.